dcali
Bullet Maker
I believe the way quickload handles barrel time is really "time from 10% of peak pressure". Maybe that's not super useful, so I see your point. And by measure of uncertainty, I mean just as simple guide - the powder data is hidden behind the covers, so we don't know how variable the various thermodynamic inputs are. If you can do some back of the envelope calculations saying peak pressure is likely to be within x of the calculation, that would be great. Perhaps that's not easily doable given the nature and sources of the data. Lacking any estimate of how close the calculations are likely to be to reality, shooters may tend to overestimate the precision and accuracy of the calculations, especially given that they don't have a way to test it themselves (as you can with an external ballistics calculator, for example).Barrel time is a bit difficult in these simulation models. The reason for that is that the approximation made in these models is that the burning rate is proportional to pressure. Which is a good approximation, but really, burning rate is a function of temperature. The powder column is actually ignited by radiant heat from a stream of incandescent particles that come out of the primer, but that is not the way the deflagration gets started in these models. In these models, some arbitrary chamber pressure is assumed to exist as a starting condition and then things take off from there. So, the time it takes to get to maximum chamber pressure will depend to some extent on what starting pressure is chosen. You will see in all the models that in the pressure vs time curve, the pressure does not start at zero....
As for "measure of uncertainty", how would you gauge that? Do the run again for one grain more and one grain less of powder? One grain more and one grain less of usable case capacity? Both together? That is a bit arbitrary and the uncertainly would grow as the load density approached 100%. By all means, you can do this for yourself. But without some agreed way of how the "measure of uncertainty" is determined, it does not really have much meaning.
But overall, I really like it. It gets to the point without a lot of extraneous stuff in the way. Is there any way to infer the data your model requires from that provided by quickload?
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